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| Titel |
Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF |
| VerfasserIn |
A. Alvera-Azcárate, A. Barth, D. Sirjacobs, J.-M. Beckers |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1812-0784
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| Digitales Dokument |
URL |
| Erschienen |
In: Ocean Science ; 5, no. 4 ; Nr. 5, no. 4 (2009-10-28), S.475-485 |
| Datensatznummer |
250002725
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| Publikation (Nr.) |
 copernicus.org/os-5-475-2009.pdf |
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| Zusammenfassung |
| DINEOF (Data Interpolating Empirical Orthogonal Functions) is an EOF-based
technique for the reconstruction of missing data in geophysical fields, such
as those produced by clouds in sea surface temperature satellite images. A
technique to reduce spurious time variability in DINEOF reconstructions is
presented. The reconstruction of these images within a long time series using
DINEOF can lead to large discontinuities in the reconstruction. Filtering the
temporal covariance matrix allows to reduce this spurious variability and
therefore more realistic reconstructions are obtained. The approach is tested
in a three years sea surface temperature data set over the Black Sea. The
effect of the filter in the temporal EOFs is presented, as well as some
examples of the improvement achieved with the filtering in the SST
reconstruction, both compared to the DINEOF approach without filtering. |
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